Overview

Dataset statistics

Number of variables32
Number of observations273
Missing cells120
Missing cells (%)1.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory68.4 KiB
Average record size in memory256.5 B

Variable types

Categorical1
Numeric31

Alerts

Date has a high cardinality: 273 distinct values High cardinality
WTI_Price is highly correlated with Oil_Production_OPEC and 26 other fieldsHigh correlation
Oil_Production_OPEC is highly correlated with WTI_Price and 27 other fieldsHigh correlation
Oil_Production_nonOPEC is highly correlated with WTI_Price and 28 other fieldsHigh correlation
Oil_Production_World is highly correlated with WTI_Price and 28 other fieldsHigh correlation
Henry_Hub_NG_Price is highly correlated with WTI_Price and 23 other fieldsHigh correlation
Oil_Production_US is highly correlated with WTI_Price and 28 other fieldsHigh correlation
Petrol_Consumption_OECD is highly correlated with Oil_Production_OPEC and 16 other fieldsHigh correlation
Petrol_Consumption_nonOECD is highly correlated with WTI_Price and 28 other fieldsHigh correlation
US_CPI is highly correlated with WTI_Price and 29 other fieldsHigh correlation
US_PPI is highly correlated with WTI_Price and 29 other fieldsHigh correlation
US_PPI_Petroleum is highly correlated with WTI_Price and 28 other fieldsHigh correlation
US_PMI is highly correlated with WTI_Price and 28 other fieldsHigh correlation
Petroleum_Inventory_OECD is highly correlated with WTI_Price and 26 other fieldsHigh correlation
Crude_Oil_Inventory_Total is highly correlated with WTI_Price and 28 other fieldsHigh correlation
Crude_Oil_Inventory_SPR is highly correlated with WTI_Price and 27 other fieldsHigh correlation
Crude_Oil_Inventory_nonSPR is highly correlated with WTI_Price and 28 other fieldsHigh correlation
Fed_Fund_Effective is highly correlated with WTI_Price and 26 other fieldsHigh correlation
Index_Global_Real_Econ_Activity is highly correlated with WTI_Price and 22 other fieldsHigh correlation
US_CPI_Energy is highly correlated with WTI_Price and 28 other fieldsHigh correlation
Real_Dollar_Index is highly correlated with WTI_Price and 29 other fieldsHigh correlation
USD_EUR_Exchange is highly correlated with WTI_Price and 25 other fieldsHigh correlation
Global_Econ_Policy_Uncertainty_Index is highly correlated with Oil_Production_OPEC and 24 other fieldsHigh correlation
COMEX_Gold is highly correlated with WTI_Price and 27 other fieldsHigh correlation
DJIA is highly correlated with WTI_Price and 29 other fieldsHigh correlation
LME_Copper is highly correlated with WTI_Price and 27 other fieldsHigh correlation
NASDAQ_COMP is highly correlated with WTI_Price and 29 other fieldsHigh correlation
SP500_SPX is highly correlated with WTI_Price and 29 other fieldsHigh correlation
WTI_Brent_Price_Spread is highly correlated with WTI_Price and 23 other fieldsHigh correlation
WTI_Crack_Spread is highly correlated with WTI_Price and 24 other fieldsHigh correlation
Brent_Crack_Spread is highly correlated with WTI_Price and 25 other fieldsHigh correlation
EU19_PPI is highly correlated with US_CPI and 11 other fieldsHigh correlation
Oil_Production_World has 4 (1.5%) missing values Missing
Petroleum_Inventory_OECD has 36 (13.2%) missing values Missing
EU19_PPI has 3 (1.1%) missing values Missing
Real_Dollar_Index has 72 (26.4%) missing values Missing
Date is uniformly distributed Uniform
Date has unique values Unique
WTI_Price has unique values Unique
Oil_Production_OPEC has unique values Unique
Oil_Production_nonOPEC has unique values Unique
Oil_Production_US has unique values Unique
Petrol_Consumption_OECD has unique values Unique
Petrol_Consumption_nonOECD has unique values Unique
US_PPI has unique values Unique
Crude_Oil_Inventory_Total has unique values Unique
DJIA has unique values Unique
NASDAQ_COMP has unique values Unique
SP500_SPX has unique values Unique
WTI_Crack_Spread has unique values Unique
Brent_Crack_Spread has unique values Unique
EU19_PPI has 8 (2.9%) zeros Zeros

Reproduction

Analysis started2022-10-11 04:30:01.977154
Analysis finished2022-10-11 04:31:53.887797
Duration1 minute and 51.91 seconds
Software versionpandas-profiling v3.3.0
Download configurationconfig.json

Variables

Date
Categorical

HIGH CARDINALITY
UNIFORM
UNIQUE

Distinct273
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
2000-01-01
 
1
2015-01-01
 
1
2015-07-01
 
1
2015-06-01
 
1
2015-05-01
 
1
Other values (268)
268 

Length

Max length10
Median length10
Mean length10
Min length10

Characters and Unicode

Total characters2730
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique273 ?
Unique (%)100.0%

Sample

1st row2000-01-01
2nd row2000-02-01
3rd row2000-03-01
4th row2000-04-01
5th row2000-05-01

Common Values

ValueCountFrequency (%)
2000-01-011
 
0.4%
2015-01-011
 
0.4%
2015-07-011
 
0.4%
2015-06-011
 
0.4%
2015-05-011
 
0.4%
2015-04-011
 
0.4%
2015-03-011
 
0.4%
2015-02-011
 
0.4%
2014-12-011
 
0.4%
2011-06-011
 
0.4%
Other values (263)263
96.3%

Length

2022-10-10T22:31:53.969157image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2000-01-011
 
0.4%
2000-09-011
 
0.4%
2001-03-011
 
0.4%
2001-02-011
 
0.4%
2001-01-011
 
0.4%
2000-12-011
 
0.4%
2000-11-011
 
0.4%
2000-10-011
 
0.4%
2000-08-011
 
0.4%
2000-02-011
 
0.4%
Other values (263)263
96.3%

Most occurring characters

ValueCountFrequency (%)
0931
34.1%
-546
20.0%
1540
19.8%
2384
14.1%
547
 
1.7%
747
 
1.7%
647
 
1.7%
447
 
1.7%
347
 
1.7%
947
 
1.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number2184
80.0%
Dash Punctuation546
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0931
42.6%
1540
24.7%
2384
17.6%
547
 
2.2%
747
 
2.2%
647
 
2.2%
447
 
2.2%
347
 
2.2%
947
 
2.2%
847
 
2.2%
Dash Punctuation
ValueCountFrequency (%)
-546
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common2730
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0931
34.1%
-546
20.0%
1540
19.8%
2384
14.1%
547
 
1.7%
747
 
1.7%
647
 
1.7%
447
 
1.7%
347
 
1.7%
947
 
1.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII2730
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0931
34.1%
-546
20.0%
1540
19.8%
2384
14.1%
547
 
1.7%
747
 
1.7%
647
 
1.7%
447
 
1.7%
347
 
1.7%
947
 
1.7%

WTI_Price
Real number (ℝ≥0)

HIGH CORRELATION
UNIQUE

Distinct273
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean62.29788278
Minimum16.55
Maximum133.88
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.3 KiB
2022-10-10T22:31:54.084479image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum16.55
5-th percentile27.011
Q140.94
median59.083
Q383.22
95-th percentile104.9842
Maximum133.88
Range117.33
Interquartile range (IQR)42.28

Descriptive statistics

Standard deviation26.13360481
Coefficient of variation (CV)0.4194942692
Kurtosis-0.7669272583
Mean62.29788278
Median Absolute Deviation (MAD)19.996
Skewness0.3519143253
Sum17007.322
Variance682.9653004
MonotonicityNot monotonic
2022-10-10T22:31:54.220671image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
27.2591
 
0.4%
47.2171
 
0.4%
50.9011
 
0.4%
59.8191
 
0.4%
59.2651
 
0.4%
54.4531
 
0.4%
47.8231
 
0.4%
50.5841
 
0.4%
59.291
 
0.4%
96.2641
 
0.4%
Other values (263)263
96.3%
ValueCountFrequency (%)
16.551
0.4%
19.3891
0.4%
19.6351
0.4%
19.7151
0.4%
20.7241
0.4%
22.171
0.4%
24.5311
0.4%
25.5191
0.4%
25.7221
0.4%
26.1791
0.4%
ValueCountFrequency (%)
133.881
0.4%
133.3711
0.4%
125.3981
0.4%
116.6661
0.4%
114.841
0.4%
112.581
0.4%
109.551
0.4%
109.5331
0.4%
108.51
0.4%
106.5731
0.4%

Oil_Production_OPEC
Real number (ℝ≥0)

HIGH CORRELATION
UNIQUE

Distinct273
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean29.01989882
Minimum22.35
Maximum32.391315
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.3 KiB
2022-10-10T22:31:54.354528image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum22.35
5-th percentile25.07882779
Q128.17960199
median29.282776
Q330.391669
95-th percentile31.6730972
Maximum32.391315
Range10.041315
Interquartile range (IQR)2.212067008

Descriptive statistics

Standard deviation1.958625171
Coefficient of variation (CV)0.06749248792
Kurtosis0.3696769296
Mean29.01989882
Median Absolute Deviation (MAD)1.108893
Skewness-0.8269978265
Sum7922.432377
Variance3.836212559
MonotonicityNot monotonic
2022-10-10T22:31:54.485804image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
26.012534121
 
0.4%
29.5066781
 
0.4%
31.3007241
 
0.4%
31.0927541
 
0.4%
30.6415291
 
0.4%
30.3916691
 
0.4%
30.2380391
 
0.4%
29.4050561
 
0.4%
29.8986591
 
0.4%
29.1550661
 
0.4%
Other values (263)263
96.3%
ValueCountFrequency (%)
22.351
0.4%
22.9751
0.4%
23.941
0.4%
23.9751
0.4%
24.117450381
0.4%
24.311
0.4%
24.321
0.4%
24.681994791
0.4%
24.8751
0.4%
24.95102571
0.4%
ValueCountFrequency (%)
32.3913151
0.4%
32.2497081
0.4%
32.0651
0.4%
32.051
0.4%
31.9993271
0.4%
31.9171
0.4%
31.871
0.4%
31.8411
0.4%
31.831
0.4%
31.8099951
0.4%

Oil_Production_nonOPEC
Real number (ℝ≥0)

HIGH CORRELATION
UNIQUE

Distinct273
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean55.73592652
Minimum46.61873053
Maximum67.46292889
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.3 KiB
2022-10-10T22:31:54.614136image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum46.61873053
5-th percentile47.41656262
Q150.89447845
median54.48076391
Q360.74035629
95-th percentile65.47440774
Maximum67.46292889
Range20.84419835
Interquartile range (IQR)9.845877836

Descriptive statistics

Standard deviation6.002475102
Coefficient of variation (CV)0.1076949012
Kurtosis-1.230301643
Mean55.73592652
Median Absolute Deviation (MAD)4.996394251
Skewness0.312143977
Sum15215.90794
Variance36.02970735
MonotonicityNot monotonic
2022-10-10T22:31:54.730887image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
46.902384251
 
0.4%
60.350102851
 
0.4%
61.057686621
 
0.4%
60.701155351
 
0.4%
60.403476721
 
0.4%
60.473760831
 
0.4%
60.626060611
 
0.4%
60.355752561
 
0.4%
61.158369391
 
0.4%
54.160551851
 
0.4%
Other values (263)263
96.3%
ValueCountFrequency (%)
46.618730531
0.4%
46.623961241
0.4%
46.778140981
0.4%
46.822508141
0.4%
46.902384251
0.4%
46.931373381
0.4%
46.937265761
0.4%
46.971870971
0.4%
47.045261861
0.4%
47.056179761
0.4%
ValueCountFrequency (%)
67.462928891
0.4%
67.221040881
0.4%
67.20297911
0.4%
66.836107621
0.4%
66.810833971
0.4%
66.7678041
0.4%
66.647692441
0.4%
66.419305251
0.4%
66.326922021
0.4%
66.289212011
0.4%

Oil_Production_World
Real number (ℝ≥0)

HIGH CORRELATION
MISSING

Distinct269
Distinct (%)100.0%
Missing4
Missing (%)1.5%
Infinite0
Infinite (%)0.0%
Mean86963.19232
Minimum73854.23924
Maximum99859.48942
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.3 KiB
2022-10-10T22:31:54.850084image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum73854.23924
5-th percentile75213.76476
Q182568.728
median85856.92994
Q394175.9691
95-th percentile97734.45324
Maximum99859.48942
Range26005.25018
Interquartile range (IQR)11607.2411

Descriptive statistics

Standard deviation7264.573928
Coefficient of variation (CV)0.08353619197
Kurtosis-1.085516285
Mean86963.19232
Median Absolute Deviation (MAD)5467.098171
Skewness-0.02010345596
Sum23393098.73
Variance52774034.35
MonotonicityNot monotonic
2022-10-10T22:31:54.982246image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
94650.061191
 
0.4%
90172.975111
 
0.4%
90670.975111
 
0.4%
91324.028111
 
0.4%
91602.619111
 
0.4%
91984.923111
 
0.4%
92627.475111
 
0.4%
93871.126111
 
0.4%
93260.957111
 
0.4%
94017.572111
 
0.4%
Other values (259)259
94.9%
(Missing)4
 
1.5%
ValueCountFrequency (%)
73854.239241
0.4%
73916.405431
0.4%
74239.774721
0.4%
74439.049971
0.4%
74470.542511
0.4%
74556.621111
0.4%
74688.062571
0.4%
74796.617921
0.4%
74823.658731
0.4%
74834.227341
0.4%
ValueCountFrequency (%)
99859.489421
0.4%
99822.321311
0.4%
99201.691681
0.4%
99178.568181
0.4%
99074.170651
0.4%
98864.255271
0.4%
98822.62171
0.4%
98618.056211
0.4%
98563.18841
0.4%
98560.383481
0.4%

Henry_Hub_NG_Price
Real number (ℝ≥0)

HIGH CORRELATION

Distinct217
Distinct (%)79.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.503699634
Minimum1.63
Maximum13.42
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.3 KiB
2022-10-10T22:31:55.108425image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1.63
5-th percentile2.062
Q12.87
median3.92
Q35.81
95-th percentile8.372
Maximum13.42
Range11.79
Interquartile range (IQR)2.94

Descriptive statistics

Standard deviation2.180803079
Coefficient of variation (CV)0.4842248056
Kurtosis2.258702675
Mean4.503699634
Median Absolute Deviation (MAD)1.23
Skewness1.38390484
Sum1229.51
Variance4.755902071
MonotonicityNot monotonic
2022-10-10T22:31:55.235118image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.994
 
1.5%
2.984
 
1.5%
1.923
 
1.1%
2.853
 
1.1%
3.433
 
1.1%
2.823
 
1.1%
4.93
 
1.1%
4.043
 
1.1%
2.663
 
1.1%
3.832
 
0.7%
Other values (207)242
88.6%
ValueCountFrequency (%)
1.631
 
0.4%
1.731
 
0.4%
1.741
 
0.4%
1.751
 
0.4%
1.771
 
0.4%
1.791
 
0.4%
1.911
 
0.4%
1.923
1.1%
1.931
 
0.4%
1.951
 
0.4%
ValueCountFrequency (%)
13.421
0.4%
13.051
0.4%
12.691
0.4%
11.751
0.4%
11.271
0.4%
11.091
0.4%
10.31
0.4%
10.181
0.4%
9.531
0.4%
9.411
0.4%

Oil_Production_US
Real number (ℝ≥0)

HIGH CORRELATION
UNIQUE

Distinct273
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.487630502
Minimum3.973586
Maximum13.000326
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.3 KiB
2022-10-10T22:31:55.364747image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum3.973586
5-th percentile5.0363586
Q15.451727
median5.884388
Q39.409756
95-th percentile11.9063248
Maximum13.000326
Range9.02674
Interquartile range (IQR)3.958029

Descriptive statistics

Standard deviation2.511191506
Coefficient of variation (CV)0.335378663
Kurtosis-1.003422944
Mean7.487630502
Median Absolute Deviation (MAD)0.83666
Skewness0.6917063862
Sum2044.123127
Variance6.306082782
MonotonicityNot monotonic
2022-10-10T22:31:55.482045image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5.7843761
 
0.4%
9.3835861
 
0.4%
9.4453721
 
0.4%
9.3578031
 
0.4%
9.4745541
 
0.4%
9.6584841
 
0.4%
9.5835941
 
0.4%
9.5055071
 
0.4%
9.5651031
 
0.4%
5.5890941
 
0.4%
Other values (263)263
96.3%
ValueCountFrequency (%)
3.9735861
0.4%
4.2138981
0.4%
4.5548231
0.4%
4.7376891
0.4%
4.8569461
0.4%
4.9020361
0.4%
4.9696821
0.4%
4.988081
0.4%
5.0029761
0.4%
5.0219351
0.4%
ValueCountFrequency (%)
13.0003261
0.4%
12.9778761
0.4%
12.8522661
0.4%
12.8420241
0.4%
12.8094741
0.4%
12.7965591
0.4%
12.5903171
0.4%
12.4862331
0.4%
12.2182161
0.4%
12.1536541
0.4%

Petrol_Consumption_OECD
Real number (ℝ≥0)

HIGH CORRELATION
UNIQUE

Distinct273
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean47.46883373
Minimum35.01680111
Maximum52.87561752
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.3 KiB
2022-10-10T22:31:55.602349image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum35.01680111
5-th percentile43.65762601
Q146.17204247
median47.41096764
Q348.94165345
95-th percentile51.1122279
Maximum52.87561752
Range17.8588164
Interquartile range (IQR)2.769610979

Descriptive statistics

Standard deviation2.313133809
Coefficient of variation (CV)0.04872952687
Kurtosis3.899889171
Mean47.46883373
Median Absolute Deviation (MAD)1.346829965
Skewness-0.9317620349
Sum12958.99161
Variance5.350588017
MonotonicityNot monotonic
2022-10-10T22:31:55.722691image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
47.226772041
 
0.4%
45.825463691
 
0.4%
47.257843951
 
0.4%
46.512070621
 
0.4%
44.740773891
 
0.4%
45.955100231
 
0.4%
46.368972351
 
0.4%
47.961074741
 
0.4%
47.071870291
 
0.4%
46.355830581
 
0.4%
Other values (263)263
96.3%
ValueCountFrequency (%)
35.016801111
0.4%
37.182762271
0.4%
40.39703761
0.4%
41.870685851
0.4%
41.877996221
0.4%
42.01942381
0.4%
42.212073861
0.4%
42.693614071
0.4%
42.80686941
0.4%
42.823791581
0.4%
ValueCountFrequency (%)
52.875617521
0.4%
52.312692261
0.4%
52.29404541
0.4%
51.975108461
0.4%
51.844211881
0.4%
51.83386761
0.4%
51.640405651
0.4%
51.636768121
0.4%
51.634605731
0.4%
51.311784391
0.4%

Petrol_Consumption_nonOECD
Real number (ℝ≥0)

HIGH CORRELATION
UNIQUE

Distinct273
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean42.12629385
Minimum28.13188187
Maximum54.62511082
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.3 KiB
2022-10-10T22:31:55.851522image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum28.13188187
5-th percentile28.95204719
Q134.28206891
median42.99088715
Q350.20256988
95-th percentile53.25964846
Maximum54.62511082
Range26.49322895
Interquartile range (IQR)15.92050097

Descriptive statistics

Standard deviation8.410088731
Coefficient of variation (CV)0.1996398914
Kurtosis-1.38363959
Mean42.12629385
Median Absolute Deviation (MAD)7.679084702
Skewness-0.1879793392
Sum11500.47822
Variance70.72959247
MonotonicityNot monotonic
2022-10-10T22:31:55.977706image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
28.28612241
 
0.4%
47.199076461
 
0.4%
50.009362991
 
0.4%
50.736458711
 
0.4%
47.859729051
 
0.4%
49.220983281
 
0.4%
47.032797181
 
0.4%
48.240916581
 
0.4%
49.595558971
 
0.4%
43.113081811
 
0.4%
Other values (263)263
96.3%
ValueCountFrequency (%)
28.131881871
0.4%
28.216861921
0.4%
28.270994861
0.4%
28.28612241
0.4%
28.528547261
0.4%
28.538207681
0.4%
28.583307041
0.4%
28.695289031
0.4%
28.702113871
0.4%
28.741076381
0.4%
ValueCountFrequency (%)
54.625110821
0.4%
54.199032081
0.4%
53.898601821
0.4%
53.895879141
0.4%
53.819619761
0.4%
53.612880771
0.4%
53.593826371
0.4%
53.584987061
0.4%
53.567813431
0.4%
53.404918591
0.4%

US_CPI
Real number (ℝ≥0)

HIGH CORRELATION

Distinct264
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.221985997
Minimum1.693
Maximum2.968529
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.3 KiB
2022-10-10T22:31:56.100900image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1.693
5-th percentile1.7606
Q11.981
median2.24806
Q32.43618
95-th percentile2.725472
Maximum2.968529
Range1.275529
Interquartile range (IQR)0.45518

Descriptive statistics

Standard deviation0.3055009155
Coefficient of variation (CV)0.1374900273
Kurtosis-0.6801787383
Mean2.221985997
Median Absolute Deviation (MAD)0.22906
Skewness0.1309564516
Sum606.6021773
Variance0.09333080939
MonotonicityNot monotonic
2022-10-10T22:31:56.226092image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.7743
 
1.1%
1.9172
 
0.7%
2.374982
 
0.7%
1.7272
 
0.7%
2.248062
 
0.7%
1.9812
 
0.7%
1.7772
 
0.7%
1.9372
 
0.7%
1.6931
 
0.4%
2.380331
 
0.4%
Other values (254)254
93.0%
ValueCountFrequency (%)
1.6931
0.4%
1.71
0.4%
1.7091
0.4%
1.711
0.4%
1.7121
0.4%
1.7221
0.4%
1.7272
0.7%
1.7361
0.4%
1.7391
0.4%
1.7421
0.4%
ValueCountFrequency (%)
2.9685291
0.4%
2.9569783091
0.4%
2.953281
0.4%
2.952711
0.4%
2.914741
0.4%
2.886631
0.4%
2.877081
0.4%
2.841821
0.4%
2.819331
0.4%
2.801261
0.4%

US_PPI
Real number (ℝ≥0)

HIGH CORRELATION
UNIQUE

Distinct273
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.81454811
Minimum1.288995478
Maximum2.757034088
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.3 KiB
2022-10-10T22:31:56.349800image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1.288995478
5-th percentile1.314328125
Q11.600174762
median1.877033678
Q32.013519242
95-th percentile2.316047083
Maximum2.757034088
Range1.46803861
Interquartile range (IQR)0.4133444803

Descriptive statistics

Standard deviation0.3118180943
Coefficient of variation (CV)0.1718433877
Kurtosis0.2488003123
Mean1.81454811
Median Absolute Deviation (MAD)0.1556425296
Skewness0.1892489822
Sum495.3716341
Variance0.09723052396
MonotonicityNot monotonic
2022-10-10T22:31:56.470002image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.2930076141
 
0.4%
1.9433251821
 
0.4%
1.913342431
 
0.4%
1.9178717421
 
0.4%
1.9222486941
 
0.4%
1.9251575231
 
0.4%
1.9119983031
 
0.4%
1.9229208311
 
0.4%
1.9928926491
 
0.4%
2.0306254231
 
0.4%
Other values (263)263
96.3%
ValueCountFrequency (%)
1.2889954781
0.4%
1.2891766671
0.4%
1.2912000371
0.4%
1.2912975141
0.4%
1.2930076141
0.4%
1.2968284621
0.4%
1.299186741
0.4%
1.2997225871
0.4%
1.3042612171
0.4%
1.3053718951
0.4%
ValueCountFrequency (%)
2.7570340881
0.4%
2.7493103941
0.4%
2.7106670561
0.4%
2.685808121
0.4%
2.6677150431
0.4%
2.6547251
0.4%
2.5856856861
0.4%
2.5267668531
0.4%
2.4784921691
0.4%
2.4507297111
0.4%

US_PPI_Petroleum
Real number (ℝ≥0)

HIGH CORRELATION

Distinct261
Distinct (%)95.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.956457766
Minimum0.592
Maximum4.68546
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.3 KiB
2022-10-10T22:31:56.599178image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0.592
5-th percentile0.8336
Q11.33
median1.919
Q32.51608
95-th percentile3.2008
Maximum4.68546
Range4.09346
Interquartile range (IQR)1.18608

Descriptive statistics

Standard deviation0.7900701275
Coefficient of variation (CV)0.4038268249
Kurtosis-0.4409702864
Mean1.956457766
Median Absolute Deviation (MAD)0.595
Skewness0.3568875787
Sum534.11297
Variance0.6242108064
MonotonicityNot monotonic
2022-10-10T22:31:56.716736image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.9412
 
0.7%
0.9162
 
0.7%
0.8122
 
0.7%
1.2222
 
0.7%
1.2622
 
0.7%
1.5622
 
0.7%
0.8242
 
0.7%
0.9512
 
0.7%
2.9172
 
0.7%
1.9032
 
0.7%
Other values (251)253
92.7%
ValueCountFrequency (%)
0.5921
0.4%
0.6131
0.4%
0.6291
0.4%
0.6831
0.4%
0.7251
0.4%
0.7521
0.4%
0.7561
0.4%
0.7961
0.4%
0.8091
0.4%
0.8122
0.7%
ValueCountFrequency (%)
4.685461
0.4%
4.185371
0.4%
3.761811
0.4%
3.646651
0.4%
3.5771
0.4%
3.572791
0.4%
3.4061
0.4%
3.3181
0.4%
3.2781
0.4%
3.271
0.4%

US_PMI
Real number (ℝ≥0)

HIGH CORRELATION

Distinct272
Distinct (%)99.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean97.1637737
Minimum80.3952
Maximum106.4737
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.3 KiB
2022-10-10T22:31:56.839445image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum80.3952
5-th percentile88.47634
Q193.6355
median98.8816
Q3100.4778
95-th percentile103.7659
Maximum106.4737
Range26.0785
Interquartile range (IQR)6.8423

Descriptive statistics

Standard deviation4.893095818
Coefficient of variation (CV)0.05035926077
Kurtosis-0.05238285379
Mean97.1637737
Median Absolute Deviation (MAD)2.8806
Skewness-0.6186617917
Sum26525.71022
Variance23.94238668
MonotonicityNot monotonic
2022-10-10T22:31:56.971610image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
99.1152
 
0.7%
101.46761
 
0.4%
100.23751
 
0.4%
100.24551
 
0.4%
100.28061
 
0.4%
99.96551
 
0.4%
100.7081
 
0.4%
101.29361
 
0.4%
92.27641
 
0.4%
100.59541
 
0.4%
Other values (262)262
96.0%
ValueCountFrequency (%)
80.39521
0.4%
83.93111
0.4%
84.40111
0.4%
84.61691
0.4%
85.53051
0.4%
85.82991
0.4%
86.08421
0.4%
86.80971
0.4%
87.62021
0.4%
87.62671
0.4%
ValueCountFrequency (%)
106.47371
0.4%
106.38921
0.4%
106.23471
0.4%
105.89481
0.4%
105.75571
0.4%
105.75541
0.4%
105.68011
0.4%
105.52951
0.4%
105.43271
0.4%
105.27981
0.4%

Petroleum_Inventory_OECD
Real number (ℝ≥0)

HIGH CORRELATION
MISSING

Distinct237
Distinct (%)100.0%
Missing36
Missing (%)13.2%
Infinite0
Infinite (%)0.0%
Mean2752.036653
Minimum2394.414
Maximum3211.628995
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.3 KiB
2022-10-10T22:31:57.100783image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum2394.414
5-th percentile2553.939662
Q12634.98231
median2693.382
Q32862.032258
95-th percentile3065.379663
Maximum3211.628995
Range817.2149946
Interquartile range (IQR)227.049948

Descriptive statistics

Standard deviation167.5965444
Coefficient of variation (CV)0.06089909605
Kurtosis-0.04641979173
Mean2752.036653
Median Absolute Deviation (MAD)84.801
Skewness0.8186567684
Sum652232.6867
Variance28088.60171
MonotonicityNot monotonic
2022-10-10T22:31:57.230958image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3116.4965271
 
0.4%
2869.1336531
 
0.4%
2930.1200341
 
0.4%
2936.1144811
 
0.4%
2939.8136861
 
0.4%
2956.861971
 
0.4%
2971.8862991
 
0.4%
3030.6963621
 
0.4%
3035.1940331
 
0.4%
3024.6645591
 
0.4%
Other values (227)227
83.2%
(Missing)36
 
13.2%
ValueCountFrequency (%)
2394.4141
0.4%
2463.3970021
0.4%
2476.7150011
0.4%
2493.2109981
0.4%
2497.5761
0.4%
2510.8551
0.4%
2516.0551
0.4%
2537.4041
0.4%
2541.2631
0.4%
2544.5067091
0.4%
ValueCountFrequency (%)
3211.6289951
0.4%
3208.5980191
0.4%
3206.8581371
0.4%
3206.088471
0.4%
3171.361251
0.4%
3119.2063411
0.4%
3119.1562541
0.4%
3116.4965271
0.4%
3101.0741731
0.4%
3100.544011
0.4%

Crude_Oil_Inventory_Total
Real number (ℝ≥0)

HIGH CORRELATION
UNIQUE

Distinct273
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1107.633111
Minimum861.2050004
Maximum1457.703137
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.3 KiB
2022-10-10T22:31:57.363635image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum861.2050004
5-th percentile930.701
Q1999.218
median1064.036
Q31233.747879
95-th percentile1352.465082
Maximum1457.703137
Range596.4981366
Interquartile range (IQR)234.529879

Descriptive statistics

Standard deviation141.311233
Coefficient of variation (CV)0.127579459
Kurtosis-0.8008113496
Mean1107.633111
Median Absolute Deviation (MAD)92.377
Skewness0.5893400473
Sum302383.8393
Variance19968.86457
MonotonicityNot monotonic
2022-10-10T22:31:57.481837image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
908.95000191
 
0.4%
1152.4424471
 
0.4%
1236.8706531
 
0.4%
1239.8587911
 
0.4%
1231.0632581
 
0.4%
1211.2936351
 
0.4%
1185.5500211
 
0.4%
1152.6005131
 
0.4%
1130.8166191
 
0.4%
1056.9375821
 
0.4%
Other values (263)263
96.3%
ValueCountFrequency (%)
861.20500041
0.4%
875.23100171
0.4%
896.49699841
0.4%
896.83999981
0.4%
905.15600061
0.4%
906.88900181
0.4%
908.95000191
0.4%
910.2671
0.4%
915.1981
0.4%
918.6491
0.4%
ValueCountFrequency (%)
1457.7031371
0.4%
1453.9879951
0.4%
1437.5780191
0.4%
1432.238471
0.4%
1423.181251
0.4%
1403.5993411
0.4%
1388.724011
0.4%
1386.3292541
0.4%
1369.0301731
0.4%
1368.7585271
0.4%

Crude_Oil_Inventory_SPR
Real number (ℝ≥0)

HIGH CORRELATION

Distinct220
Distinct (%)80.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean659.2532989
Minimum413.2238
Maximum726.616
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.3 KiB
2022-10-10T22:31:57.612042image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum413.2238
5-th percentile544.3496
Q1634.967
median687.847
Q3695.951
95-th percentile726.542
Maximum726.616
Range313.3922
Interquartile range (IQR)60.984

Descriptive statistics

Standard deviation57.63739994
Coefficient of variation (CV)0.08742830721
Kurtosis1.504079934
Mean659.2532989
Median Absolute Deviation (MAD)25.016
Skewness-1.302452797
Sum179976.1506
Variance3322.069872
MonotonicityNot monotonic
2022-10-10T22:31:57.728390image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
695.96913
 
4.8%
695.95110
 
3.7%
644.8185
 
1.8%
634.9675
 
1.8%
690.9724
 
1.5%
726.5424
 
1.5%
688.6054
 
1.5%
694.9523
 
1.1%
569.4133
 
1.1%
599.2473
 
1.1%
Other values (210)219
80.2%
ValueCountFrequency (%)
413.22381
0.4%
443.22379811
0.4%
464.5581
0.4%
493.3241
0.4%
523.1091
0.4%
540.6781
0.4%
541.6751
0.4%
541.6771
0.4%
542.291
0.4%
542.351
0.4%
ValueCountFrequency (%)
726.6161
0.4%
726.6121
0.4%
726.6081
0.4%
726.6041
0.4%
726.5991
0.4%
726.5941
0.4%
726.5911
0.4%
726.5861
0.4%
726.5811
0.4%
726.551
0.4%

Crude_Oil_Inventory_nonSPR
Real number (ℝ≥0)

HIGH CORRELATION

Distinct272
Distinct (%)99.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean364.0580743
Minimum268.393
Maximum538.595
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.3 KiB
2022-10-10T22:31:57.851283image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum268.393
5-th percentile278.6938
Q1306.035
median337.017
Q3429.129
95-th percentile501.9198
Maximum538.595
Range270.202
Interquartile range (IQR)123.094

Descriptive statistics

Standard deviation74.56187905
Coefficient of variation (CV)0.2048076511
Kurtosis-0.8500164988
Mean364.0580743
Median Absolute Deviation (MAD)45.642
Skewness0.692639094
Sum99387.8543
Variance5559.473808
MonotonicityNot monotonic
2022-10-10T22:31:57.980357image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
308.2452
 
0.7%
283.8771
 
0.4%
389.2131
 
0.4%
424.8091
 
0.4%
438.811
 
0.4%
448.9611
 
0.4%
452.7131
 
0.4%
443.21
 
0.4%
415.3131
 
0.4%
360.8651
 
0.4%
Other values (262)262
96.0%
ValueCountFrequency (%)
268.3931
0.4%
268.8751
0.4%
270.3141
0.4%
270.6471
0.4%
271.0861
0.4%
271.6061
0.4%
272.9511
0.4%
274.0451
0.4%
277.6141
0.4%
277.8481
0.4%
ValueCountFrequency (%)
538.5951
0.4%
532.6571
0.4%
529.0351
0.4%
525.4191
0.4%
524.2861
0.4%
521.5931
0.4%
520.1241
0.4%
516.8081
0.4%
511.8611
0.4%
509.3231
0.4%

Fed_Fund_Effective
Real number (ℝ≥0)

HIGH CORRELATION

Distinct134
Distinct (%)49.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.622380952
Minimum0.05
Maximum6.54
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.3 KiB
2022-10-10T22:31:58.106616image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0.05
5-th percentile0.08
Q10.13
median1
Q32.33
95-th percentile5.366
Maximum6.54
Range6.49
Interquartile range (IQR)2.2

Descriptive statistics

Standard deviation1.865242801
Coefficient of variation (CV)1.149694712
Kurtosis0.2765299028
Mean1.622380952
Median Absolute Deviation (MAD)0.9
Skewness1.200267457
Sum442.91
Variance3.479130707
MonotonicityNot monotonic
2022-10-10T22:31:58.222959image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0920
 
7.3%
0.0816
 
5.9%
0.1611
 
4.0%
5.258
 
2.9%
0.128
 
2.9%
0.077
 
2.6%
0.147
 
2.6%
0.16
 
2.2%
0.185
 
1.8%
1.755
 
1.8%
Other values (124)180
65.9%
ValueCountFrequency (%)
0.052
 
0.7%
0.061
 
0.4%
0.077
 
2.6%
0.0816
5.9%
0.0920
7.3%
0.16
 
2.2%
0.115
 
1.8%
0.128
 
2.9%
0.135
 
1.8%
0.147
 
2.6%
ValueCountFrequency (%)
6.541
0.4%
6.531
0.4%
6.521
0.4%
6.512
0.7%
6.51
0.4%
6.41
0.4%
6.271
0.4%
6.021
0.4%
5.981
0.4%
5.851
0.4%

Index_Global_Real_Econ_Activity
Real number (ℝ)

HIGH CORRELATION

Distinct271
Distinct (%)100.0%
Missing2
Missing (%)0.7%
Infinite0
Infinite (%)0.0%
Mean8.988968632
Minimum-163.26031
Maximum187.98795
Zeros0
Zeros (%)0.0%
Negative132
Negative (%)48.4%
Memory size2.3 KiB
2022-10-10T22:31:58.347615image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-163.26031
5-th percentile-94.380071
Q1-43.8109115
median3.1930396
Q353.237424
95-th percentile138.6238
Maximum187.98795
Range351.24826
Interquartile range (IQR)97.0483355

Descriptive statistics

Standard deviation70.79714147
Coefficient of variation (CV)7.876002729
Kurtosis-0.3051551912
Mean8.988968632
Median Absolute Deviation (MAD)49.0560684
Skewness0.4008437425
Sum2436.010499
Variance5012.235241
MonotonicityNot monotonic
2022-10-10T22:31:58.471799image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-56.4159191
 
0.4%
-82.3698451
 
0.4%
-98.0348271
 
0.4%
-98.8180261
 
0.4%
-101.513291
 
0.4%
-107.962921
 
0.4%
-78.2736051
 
0.4%
-18.7331521
 
0.4%
-9.63767081
 
0.4%
-38.1446031
 
0.4%
Other values (261)261
95.6%
(Missing)2
 
0.7%
ValueCountFrequency (%)
-163.260311
0.4%
-141.175031
0.4%
-140.547211
0.4%
-123.558841
0.4%
-115.988171
0.4%
-111.193521
0.4%
-107.962921
0.4%
-101.513291
0.4%
-99.9972111
0.4%
-98.8180261
0.4%
ValueCountFrequency (%)
187.987951
0.4%
186.257211
0.4%
185.752961
0.4%
181.424891
0.4%
179.370881
0.4%
167.204641
0.4%
166.352041
0.4%
161.524041
0.4%
158.853451
0.4%
149.078581
0.4%

US_CPI_Energy
Real number (ℝ≥0)

HIGH CORRELATION

Distinct265
Distinct (%)97.8%
Missing2
Missing (%)0.7%
Infinite0
Infinite (%)0.0%
Mean98.37262634
Minimum54.70810025
Maximum168.026319
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.3 KiB
2022-10-10T22:31:58.601966image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum54.70810025
5-th percentile61.16464181
Q185.43409153
median101.1720348
Q3112.9286084
95-th percentile127.1413785
Maximum168.026319
Range113.3182188
Interquartile range (IQR)27.49451687

Descriptive statistics

Standard deviation22.04291519
Coefficient of variation (CV)0.2240757008
Kurtosis-0.2357748393
Mean98.37262634
Median Absolute Deviation (MAD)13.19549521
Skewness-0.1331592216
Sum26658.98174
Variance485.89011
MonotonicityNot monotonic
2022-10-10T22:31:58.722160image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
123.36725892
 
0.7%
65.600433722
 
0.7%
65.304714262
 
0.7%
62.002513622
 
0.7%
69.296926982
 
0.7%
60.228196852
 
0.7%
103.39584511
 
0.4%
94.935311371
 
0.4%
96.895931391
 
0.4%
109.33931341
 
0.4%
Other values (255)255
93.4%
(Missing)2
 
0.7%
ValueCountFrequency (%)
54.708100251
0.4%
54.905246561
0.4%
55.053106291
0.4%
55.44739891
0.4%
56.975282781
0.4%
57.172429091
0.4%
57.517435131
0.4%
59.48889821
0.4%
59.636757931
0.4%
60.178910271
0.4%
ValueCountFrequency (%)
168.0263191
0.4%
160.3819711
0.4%
156.12065351
0.4%
147.10515291
0.4%
146.99524381
0.4%
138.41297221
0.4%
135.84415581
0.4%
131.97515961
0.4%
131.24177531
0.4%
128.4669411
0.4%

EU19_PPI
Real number (ℝ)

HIGH CORRELATION
MISSING
ZEROS

Distinct259
Distinct (%)95.9%
Missing3
Missing (%)1.1%
Infinite0
Infinite (%)0.0%
Mean0.608258556
Minimum-9.070498428
Maximum18.46889952
Zeros8
Zeros (%)2.9%
Negative112
Negative (%)41.0%
Memory size2.3 KiB
2022-10-10T22:31:58.847080image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-9.070498428
5-th percentile-3.322211094
Q1-0.8444038275
median0.3174617394
Q31.655405405
95-th percentile4.855482367
Maximum18.46889952
Range27.53939795
Interquartile range (IQR)2.499809233

Descriptive statistics

Standard deviation2.953167142
Coefficient of variation (CV)4.855118128
Kurtosis9.076017783
Mean0.608258556
Median Absolute Deviation (MAD)1.256052892
Skewness1.681167858
Sum164.2298101
Variance8.721196168
MonotonicityNot monotonic
2022-10-10T22:31:58.971240image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
08
 
2.9%
1.6036655212
 
0.7%
0.17482517482
 
0.7%
-0.21231422512
 
0.7%
0.15408320492
 
0.7%
-0.59405940591
 
0.4%
-0.98039215691
 
0.4%
-1.0669253151
 
0.4%
-0.86538461541
 
0.4%
2.3622047241
 
0.4%
Other values (249)249
91.2%
(Missing)3
 
1.1%
ValueCountFrequency (%)
-9.0704984281
0.4%
-7.7220077221
0.4%
-6.1792863361
0.4%
-6.0571428571
0.4%
-5.3045186641
0.4%
-5.2029136321
0.4%
-4.6840958611
0.4%
-4.1825095061
0.4%
-4.0992448761
0.4%
-4.014598541
0.4%
ValueCountFrequency (%)
18.468899521
0.4%
16.890881911
0.4%
12.451790631
0.4%
9.1131798141
0.4%
8.2524271841
0.4%
8.2230623821
0.4%
7.9475982531
0.4%
7.4182242991
0.4%
7.047872341
0.4%
6.2445030781
0.4%

Real_Dollar_Index
Real number (ℝ≥0)

HIGH CORRELATION
MISSING

Distinct201
Distinct (%)100.0%
Missing72
Missing (%)26.4%
Infinite0
Infinite (%)0.0%
Mean98.39232388
Minimum83.9172
Maximum120.1785
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.3 KiB
2022-10-10T22:31:59.101518image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum83.9172
5-th percentile87.235
Q189.9378
median98.8344
Q3105.8588
95-th percentile110.2221
Maximum120.1785
Range36.2613
Interquartile range (IQR)15.921

Descriptive statistics

Standard deviation8.49362106
Coefficient of variation (CV)0.08632402128
Kurtosis-1.107669263
Mean98.39232388
Median Absolute Deviation (MAD)7.8231
Skewness0.1386912591
Sum19776.8571
Variance72.14159871
MonotonicityNot monotonic
2022-10-10T22:31:59.227837image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
104.59131
 
0.4%
103.86221
 
0.4%
104.751
 
0.4%
105.82321
 
0.4%
108.23731
 
0.4%
109.95691
 
0.4%
109.74031
 
0.4%
108.33651
 
0.4%
107.64111
 
0.4%
106.6381
 
0.4%
Other values (191)191
70.0%
(Missing)72
 
26.4%
ValueCountFrequency (%)
83.91721
0.4%
84.51631
0.4%
84.57671
0.4%
84.57971
0.4%
84.66821
0.4%
86.02591
0.4%
86.80641
0.4%
86.83211
0.4%
87.16221
0.4%
87.21471
0.4%
ValueCountFrequency (%)
120.17851
0.4%
117.56371
0.4%
117.05171
0.4%
115.71191
0.4%
114.61411
0.4%
113.41521
0.4%
112.7271
0.4%
111.84141
0.4%
111.83571
0.4%
111.26271
0.4%

USD_EUR_Exchange
Real number (ℝ≥0)

HIGH CORRELATION

Distinct267
Distinct (%)97.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.200398901
Minimum0.8525
Maximum1.5759
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.3 KiB
2022-10-10T22:31:59.359037image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0.8525
5-th percentile0.90016
Q11.1058
median1.2022
Q31.3197
95-th percentile1.44996
Maximum1.5759
Range0.7234
Interquartile range (IQR)0.2139

Descriptive statistics

Standard deviation0.1592468751
Coefficient of variation (CV)0.1326616302
Kurtosis-0.3256927065
Mean1.200398901
Median Absolute Deviation (MAD)0.1058
Skewness-0.176262623
Sum327.7089
Variance0.02535956724
MonotonicityNot monotonic
2022-10-10T22:31:59.483334image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.14882
 
0.7%
1.21462
 
0.7%
1.42662
 
0.7%
1.05672
 
0.7%
1.13492
 
0.7%
1.36462
 
0.7%
1.24731
 
0.4%
1.1351
 
0.4%
1.16151
 
0.4%
1.23291
 
0.4%
Other values (257)257
94.1%
ValueCountFrequency (%)
0.85251
0.4%
0.8531
0.4%
0.85521
0.4%
0.86151
0.4%
0.86951
0.4%
0.87071
0.4%
0.87531
0.4%
0.87661
0.4%
0.88321
0.4%
0.8861
0.4%
ValueCountFrequency (%)
1.57591
0.4%
1.57541
0.4%
1.55621
0.4%
1.55541
0.4%
1.5521
0.4%
1.49551
0.4%
1.49081
0.4%
1.48211
0.4%
1.47591
0.4%
1.47281
0.4%

Global_Econ_Policy_Uncertainty_Index
Real number (ℝ≥0)

HIGH CORRELATION

Distinct272
Distinct (%)100.0%
Missing1
Missing (%)0.4%
Infinite0
Infinite (%)0.0%
Mean140.6128273
Minimum48.87513778
Maximum430.2629266
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.3 KiB
2022-10-10T22:31:59.618595image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum48.87513778
5-th percentile59.02343629
Q188.27126856
median120.6491235
Q3173.7884911
95-th percentile290.6293363
Maximum430.2629266
Range381.3877888
Interquartile range (IQR)85.51722256

Descriptive statistics

Standard deviation72.55171019
Coefficient of variation (CV)0.5159679353
Kurtosis1.20031566
Mean140.6128273
Median Absolute Deviation (MAD)41.07904799
Skewness1.220212201
Sum38246.68903
Variance5263.750651
MonotonicityNot monotonic
2022-10-10T22:31:59.743474image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
63.603327391
 
0.4%
135.77300921
 
0.4%
128.7880441
 
0.4%
117.48648461
 
0.4%
106.03905741
 
0.4%
101.30657491
 
0.4%
103.68868911
 
0.4%
112.28780791
 
0.4%
111.58594631
 
0.4%
117.0275791
 
0.4%
Other values (262)262
96.0%
ValueCountFrequency (%)
48.875137781
0.4%
54.131446761
0.4%
54.229634151
0.4%
54.315374251
0.4%
54.52965581
0.4%
55.845863261
0.4%
56.611657911
0.4%
56.613919371
0.4%
57.382194281
0.4%
57.590352021
0.4%
ValueCountFrequency (%)
430.26292661
0.4%
366.86995511
0.4%
358.0068081
0.4%
356.23779571
0.4%
351.2292391
0.4%
330.58231081
0.4%
328.91113061
0.4%
315.37553031
0.4%
313.61699191
0.4%
309.73531431
0.4%

COMEX_Gold
Real number (ℝ≥0)

HIGH CORRELATION

Distinct270
Distinct (%)98.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1048.149267
Minimum259.2
Maximum1985.9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.3 KiB
2022-10-10T22:31:59.875677image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum259.2
5-th percentile276.74
Q1472.3
median1183.2
Q31409.9
95-th percentile1817.56
Maximum1985.9
Range1726.7
Interquartile range (IQR)937.6

Descriptive statistics

Standard deviation518.418124
Coefficient of variation (CV)0.4946033357
Kurtosis-1.246636405
Mean1048.149267
Median Absolute Deviation (MAD)448
Skewness-0.1069958022
Sum286144.75
Variance268757.3512
MonotonicityNot monotonic
2022-10-10T22:31:59.996868image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
12152
 
0.7%
396.82
 
0.7%
313.92
 
0.7%
1671.551
 
0.4%
789.11
 
0.4%
679.31
 
0.4%
681.91
 
0.4%
7501
 
0.4%
795.31
 
0.4%
8381
 
0.4%
Other values (260)260
95.2%
ValueCountFrequency (%)
259.21
0.4%
264.41
0.4%
266.41
0.4%
266.91
0.4%
267.81
0.4%
2681
0.4%
269.21
0.4%
271.31
0.4%
273.31
0.4%
273.61
0.4%
ValueCountFrequency (%)
1985.91
0.4%
1978.61
0.4%
19541
0.4%
1911.71
0.4%
1905.31
0.4%
1900.71
0.4%
1895.51
0.4%
1895.11
0.4%
1879.91
0.4%
1850.31
0.4%

DJIA
Real number (ℝ≥0)

HIGH CORRELATION
UNIQUE

Distinct273
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16108.00553
Minimum7235.466364
Maximum35848.57095
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.3 KiB
2022-10-10T22:32:00.129797image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum7235.466364
5-th percentile8606.95689
Q110532.54429
median12721.08455
Q319908.1525
95-th percentile32631.50363
Maximum35848.57095
Range28613.10459
Interquartile range (IQR)9375.608214

Descriptive statistics

Standard deviation7534.526716
Coefficient of variation (CV)0.4677504425
Kurtosis0.1080549929
Mean16108.00553
Median Absolute Deviation (MAD)3086.113593
Skewness1.111556957
Sum4397485.511
Variance56769092.84
MonotonicityNot monotonic
2022-10-10T22:32:00.250631image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
11281.2631
 
0.4%
17542.2551
 
0.4%
17795.016821
 
0.4%
17927.219091
 
0.4%
18124.7131
 
0.4%
17970.513331
 
0.4%
17931.7451
 
0.4%
17945.412111
 
0.4%
17754.240451
 
0.4%
12097.309551
 
0.4%
Other values (263)263
96.3%
ValueCountFrequency (%)
7235.4663641
0.4%
7690.4963161
0.4%
7916.1836841
0.4%
7977.7347621
0.4%
7992.1214291
0.4%
8048.1217391
0.4%
8160.7761
0.4%
8332.086191
0.4%
8396.20151
0.4%
8398.36851
0.4%
ValueCountFrequency (%)
35848.570951
0.4%
35641.334091
0.4%
35456.1451
0.4%
35243.965451
0.4%
35055.51811
0.4%
34798.804291
0.4%
34688.421431
0.4%
34648.480531
0.4%
34314.991
0.4%
34289.907271
0.4%

LME_Copper
Real number (ℝ≥0)

HIGH CORRELATION

Distinct260
Distinct (%)95.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.599804029
Minimum0.622
Maximum4.7555
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.3 KiB
2022-10-10T22:32:00.378921image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0.622
5-th percentile0.7238
Q11.554
median2.838
Q33.42
95-th percentile4.305
Maximum4.7555
Range4.1335
Interquartile range (IQR)1.866

Descriptive statistics

Standard deviation1.126352424
Coefficient of variation (CV)0.4332451261
Kurtosis-0.9421645368
Mean2.599804029
Median Absolute Deviation (MAD)0.689
Skewness-0.360913298
Sum709.7465
Variance1.268669784
MonotonicityNot monotonic
2022-10-10T22:32:00.494206image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3.1882
 
0.7%
0.8472
 
0.7%
3.0462
 
0.7%
3.07652
 
0.7%
3.4542
 
0.7%
0.6782
 
0.7%
3.5272
 
0.7%
3.032
 
0.7%
0.7142
 
0.7%
3.2892
 
0.7%
Other values (250)253
92.7%
ValueCountFrequency (%)
0.6221
0.4%
0.6461
0.4%
0.6531
0.4%
0.661
0.4%
0.6771
0.4%
0.6782
0.7%
0.6871
0.4%
0.6971
0.4%
0.7051
0.4%
0.7131
0.4%
ValueCountFrequency (%)
4.75551
0.4%
4.6761
0.4%
4.4781
0.4%
4.4741
0.4%
4.4541
0.4%
4.4511
0.4%
4.44251
0.4%
4.4391
0.4%
4.4291
0.4%
4.4281
0.4%

NASDAQ_COMP
Real number (ℝ≥0)

HIGH CORRELATION
UNIQUE

Distinct273
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4546.072582
Minimum1241.893478
Maximum15814.93286
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.3 KiB
2022-10-10T22:32:00.616515image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1241.893478
5-th percentile1525.207416
Q12144.611905
median2920.116667
Q35561.4235
95-th percentile13269.62867
Maximum15814.93286
Range14573.03938
Interquartile range (IQR)3416.811595

Descriptive statistics

Standard deviation3495.417181
Coefficient of variation (CV)0.7688872357
Kurtosis1.646366181
Mean4546.072582
Median Absolute Deviation (MAD)1098.578485
Skewness1.563776005
Sum1241077.815
Variance12217941.27
MonotonicityNot monotonic
2022-10-10T22:32:00.737108image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4013.4941
 
0.4%
4673.70151
 
0.4%
5082.811
 
0.4%
5073.0418181
 
0.4%
5029.43151
 
0.4%
4985.9514291
 
0.4%
4938.0104551
 
0.4%
4854.2557891
 
0.4%
4732.7013641
 
0.4%
2687.7627271
 
0.4%
Other values (263)263
96.3%
ValueCountFrequency (%)
1241.8934781
0.4%
1251.0691
0.4%
1313.2615791
0.4%
1327.3604551
0.4%
1346.9431821
0.4%
1348.503811
0.4%
1387.1519051
0.4%
1389.5595241
0.4%
1409.15151
0.4%
1409.8309521
0.4%
ValueCountFrequency (%)
15814.932861
0.4%
15474.431821
0.4%
15023.538571
0.4%
14879.012381
0.4%
14856.517731
0.4%
14639.072861
0.4%
14531.37751
0.4%
14097.169091
0.4%
13900.43811
0.4%
13898.728421
0.4%

SP500_SPX
Real number (ℝ≥0)

HIGH CORRELATION
UNIQUE

Distinct273
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1851.153765
Minimum757.1268182
Maximum4674.772727
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.3 KiB
2022-10-10T22:32:00.868935image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum757.1268182
5-th percentile903.1176727
Q11185.305652
median1424.1615
Q32275.116
95-th percentile4080.686476
Maximum4674.772727
Range3917.645909
Interquartile range (IQR)1089.810348

Descriptive statistics

Standard deviation948.1455749
Coefficient of variation (CV)0.5121916898
Kurtosis0.9183572042
Mean1851.153765
Median Absolute Deviation (MAD)374.2609737
Skewness1.319580216
Sum505364.9778
Variance898980.0312
MonotonicityNot monotonic
2022-10-10T22:32:00.989240image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1425.58551
 
0.4%
2028.17851
 
0.4%
2094.1436361
 
0.4%
2099.2836361
 
0.4%
2111.94351
 
0.4%
2094.8628571
 
0.4%
2079.9904551
 
0.4%
2082.1957891
 
0.4%
2054.2663641
 
0.4%
1287.2886361
 
0.4%
Other values (263)263
96.3%
ValueCountFrequency (%)
757.12681821
0.4%
805.22736841
0.4%
837.61894741
0.4%
846.62142861
0.4%
848.15190481
0.4%
854.63130431
0.4%
865.57551
0.4%
867.8121
0.4%
877.56181821
0.4%
883.04052631
0.4%
ValueCountFrequency (%)
4674.7727271
0.4%
4667.3866671
0.4%
4573.81551
0.4%
4460.7071431
0.4%
4454.2063641
0.4%
4445.5433331
0.4%
4435.9805261
0.4%
4391.2961
0.4%
4391.2652171
0.4%
4363.7128571
0.4%

WTI_Brent_Price_Spread
Real number (ℝ)

HIGH CORRELATION

Distinct269
Distinct (%)98.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-2.888527473
Minimum-27.319
Maximum6.88
Zeros0
Zeros (%)0.0%
Negative158
Negative (%)57.9%
Memory size2.3 KiB
2022-10-10T22:32:01.116525image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-27.319
5-th percentile-16.7066
Q1-5.686
median-1.28
Q31.558
95-th percentile3.1282
Maximum6.88
Range34.199
Interquartile range (IQR)7.244

Descriptive statistics

Standard deviation6.159423876
Coefficient of variation (CV)-2.132375037
Kurtosis2.209067444
Mean-2.888527473
Median Absolute Deviation (MAD)3.042
Skewness-1.514703478
Sum-788.568
Variance37.93850248
MonotonicityNot monotonic
2022-10-10T22:32:01.232880image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.5572
 
0.7%
-0.8162
 
0.7%
-2.82
 
0.7%
1.0682
 
0.7%
1.7481
 
0.4%
-0.5431
 
0.4%
-1.6591
 
0.4%
-4.811
 
0.4%
-5.0711
 
0.4%
-8.0621
 
0.4%
Other values (259)259
94.9%
ValueCountFrequency (%)
-27.3191
0.4%
-23.8871
0.4%
-23.2281
0.4%
-22.5281
0.4%
-22.221
0.4%
-21.6341
0.4%
-20.7421
0.4%
-19.671
0.4%
-19.2871
0.4%
-19.2251
0.4%
ValueCountFrequency (%)
6.881
0.4%
5.3591
0.4%
5.0281
0.4%
4.8571
0.4%
3.9621
0.4%
3.8271
0.4%
3.7221
0.4%
3.5481
0.4%
3.5091
0.4%
3.5041
0.4%

WTI_Crack_Spread
Real number (ℝ≥0)

HIGH CORRELATION
UNIQUE

Distinct273
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean385.9262147
Minimum113.133
Maximum914.9436
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.3 KiB
2022-10-10T22:32:01.355769image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum113.133
5-th percentile168.4116
Q1267.083
median376.466
Q3474.842
95-th percentile645.2514
Maximum914.9436
Range801.8106
Interquartile range (IQR)207.759

Descriptive statistics

Standard deviation152.9473934
Coefficient of variation (CV)0.3963125272
Kurtosis-0.2096618679
Mean385.9262147
Median Absolute Deviation (MAD)104.396
Skewness0.4358151864
Sum105357.8566
Variance23392.90516
MonotonicityNot monotonic
2022-10-10T22:32:01.476082image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
153.1231
 
0.4%
293.1491
 
0.4%
434.5971
 
0.4%
432.8431
 
0.4%
435.5051
 
0.4%
384.1411
 
0.4%
392.0311
 
0.4%
361.7481
 
0.4%
346.931
 
0.4%
613.1081
 
0.4%
Other values (263)263
96.3%
ValueCountFrequency (%)
113.1331
0.4%
117.8551
0.4%
120.1281
0.4%
129.3951
0.4%
149.8071
0.4%
152.791
0.4%
153.1231
0.4%
161.2771
0.4%
162.8431
0.4%
164.3251
0.4%
ValueCountFrequency (%)
914.94361
0.4%
866.97151
0.4%
742.26531
0.4%
738.92561
0.4%
686.29351
0.4%
679.11
0.4%
676.8581
0.4%
671.25311
0.4%
667.461
0.4%
656.8871
0.4%

Brent_Crack_Spread
Real number (ℝ≥0)

HIGH CORRELATION
UNIQUE

Distinct273
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean377.2606322
Minimum115.185
Maximum891.3336
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.3 KiB
2022-10-10T22:32:01.619018image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum115.185
5-th percentile170.2326
Q1269.012
median366.769
Q3468.225
95-th percentile603.5538
Maximum891.3336
Range776.1486
Interquartile range (IQR)199.213

Descriptive statistics

Standard deviation141.7782396
Coefficient of variation (CV)0.3758097916
Kurtosis0.0323776108
Mean377.2606322
Median Absolute Deviation (MAD)99.541
Skewness0.4452556192
Sum102992.1526
Variance20101.06922
MonotonicityNot monotonic
2022-10-10T22:32:01.749700image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
158.3671
 
0.4%
291.521
 
0.4%
417.6171
 
0.4%
427.8661
 
0.4%
421.0751
 
0.4%
368.9281
 
0.4%
367.8451
 
0.4%
339.2121
 
0.4%
337.7951
 
0.4%
560.4011
 
0.4%
Other values (263)263
96.3%
ValueCountFrequency (%)
115.1851
0.4%
118.7521
0.4%
121.4751
0.4%
131.9091
0.4%
152.3121
0.4%
157.6891
0.4%
158.3671
0.4%
164.661
0.4%
166.3651
0.4%
167.1571
0.4%
ValueCountFrequency (%)
891.33361
0.4%
855.48151
0.4%
733.86531
0.4%
707.99561
0.4%
672.1341
0.4%
666.04351
0.4%
658.8461
0.4%
653.25311
0.4%
652.851
0.4%
637.2091
0.4%

Interactions

2022-10-10T22:31:48.789417image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-10-10T22:30:09.187295image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-10-10T22:30:12.607074image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-10-10T22:30:15.708506image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-10-10T22:30:18.778192image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-10-10T22:30:21.926092image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-10-10T22:30:25.145952image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-10-10T22:30:28.511458image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-10-10T22:30:31.779692image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-10-10T22:30:34.913227image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-10-10T22:30:38.214998image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-10-10T22:30:41.354059image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-10-10T22:30:44.750253image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-10-10T22:30:47.687865image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-10-10T22:30:51.043403image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-10-10T22:30:54.125607image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-10-10T22:30:57.601702image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-10-10T22:31:01.676076image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-10-10T22:31:05.214502image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-10-10T22:31:08.583647image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-10-10T22:31:12.068133image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-10-10T22:31:15.232369image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-10-10T22:31:18.408517image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-10-10T22:31:21.666976image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-10-10T22:31:25.042958image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-10-10T22:31:28.710012image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-10-10T22:31:31.957129image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-10-10T22:31:34.861565image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-10-10T22:31:38.112088image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-10-10T22:31:41.305637image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-10-10T22:31:44.659581image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-10-10T22:31:48.893663image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-10-10T22:30:09.351461image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-10-10T22:30:12.696454image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-10-10T22:30:15.799169image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-10-10T22:30:18.875447image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-10-10T22:30:22.023183image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-10-10T22:30:25.236222image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-10-10T22:30:28.603729image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-10-10T22:30:31.874991image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-10-10T22:30:35.009098image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-10-10T22:30:38.312362image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-10-10T22:30:41.440351image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-10-10T22:30:44.837580image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-10-10T22:30:47.790120image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-10-10T22:30:51.139670image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-10-10T22:30:54.225858image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-10-10T22:30:57.700029image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-10-10T22:31:01.779974image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-10-10T22:31:05.319945image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-10-10T22:31:08.678494image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-10-10T22:31:12.159842image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-10-10T22:31:15.333621image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-10-10T22:31:18.507184image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-10-10T22:31:21.773177image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-10-10T22:31:25.145288image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-10-10T22:31:28.803067image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-10-10T22:31:32.044516image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-10-10T22:31:34.959927image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-10-10T22:31:38.210453image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-10-10T22:31:41.401979image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-10-10T22:31:44.767814image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-10-10T22:31:48.999679image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-10-10T22:30:09.470746image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-10-10T22:30:12.792789image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-10-10T22:30:15.889518image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-10-10T22:30:18.969710image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-10-10T22:30:22.118245image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-10-10T22:30:25.327498image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-10-10T22:30:28.700130image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-10-10T22:30:31.973364image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-10-10T22:30:35.107353image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-10-10T22:30:38.410660image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-10-10T22:30:41.527634image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-10-10T22:30:44.926837image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-10-10T22:30:47.893363image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-10-10T22:30:51.236932image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-10-10T22:30:54.328210image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-10-10T22:30:57.798393image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-10-10T22:31:01.886313image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-10-10T22:31:05.427287image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-10-10T22:31:08.775751image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-10-10T22:31:12.253765image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-10-10T22:31:15.434133image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-10-10T22:31:18.609888image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-10-10T22:31:21.881756image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-10-10T22:31:25.247532image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-10-10T22:31:28.896047image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-10-10T22:31:32.137181image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-10-10T22:31:35.061282image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-10-10T22:31:38.307789image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-10-10T22:31:41.498762image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-10-10T22:31:44.876108image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-10-10T22:31:49.099933image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-10-10T22:30:09.575084image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-10-10T22:30:12.881071image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-10-10T22:30:15.976945image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-10-10T22:30:19.062161image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-10-10T22:30:22.373056image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-10-10T22:30:25.413790image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-10-10T22:30:28.794366image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-10-10T22:30:32.066120image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-10-10T22:30:35.195743image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-10-10T22:30:38.502039image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
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2022-10-10T22:30:18.577465image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-10-10T22:30:21.707459image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-10-10T22:30:24.936216image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-10-10T22:30:28.313819image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-10-10T22:30:31.540714image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-10-10T22:30:34.698630image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-10-10T22:30:38.000433image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-10-10T22:30:41.137552image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-10-10T22:30:44.565628image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-10-10T22:30:47.486361image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-10-10T22:30:50.821875image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-10-10T22:30:53.910225image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-10-10T22:30:57.377100image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-10-10T22:31:01.440555image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-10-10T22:31:04.988801image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-10-10T22:31:08.350950image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-10-10T22:31:11.855832image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-10-10T22:31:15.007441image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-10-10T22:31:18.197380image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-10-10T22:31:21.440212image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-10-10T22:31:24.817307image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-10-10T22:31:28.487958image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-10-10T22:31:31.739458image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-10-10T22:31:34.665206image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-10-10T22:31:37.890999image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-10-10T22:31:41.085597image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-10-10T22:31:44.433038image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-10-10T22:31:48.550012image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-10-10T22:31:52.010849image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-10-10T22:30:12.506715image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-10-10T22:30:15.606189image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-10-10T22:30:18.677825image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-10-10T22:30:21.816794image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-10-10T22:30:25.039573image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-10-10T22:30:28.413073image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-10-10T22:30:31.659965image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-10-10T22:30:34.807856image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-10-10T22:30:38.106771image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-10-10T22:30:41.244828image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-10-10T22:30:44.655968image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-10-10T22:30:47.587614image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-10-10T22:30:50.934070image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-10-10T22:30:54.017163image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-10-10T22:30:57.489423image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-10-10T22:31:01.560865image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-10-10T22:31:05.100132image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-10-10T22:31:08.467333image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-10-10T22:31:11.962014image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-10-10T22:31:15.123036image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-10-10T22:31:18.303757image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-10-10T22:31:21.555347image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-10-10T22:31:24.929627image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-10-10T22:31:28.597456image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-10-10T22:31:31.847792image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-10-10T22:31:34.763551image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-10-10T22:31:38.001764image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-10-10T22:31:41.195861image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-10-10T22:31:44.544405image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-10-10T22:31:48.672207image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Correlations

2022-10-10T22:32:01.919276image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.
2022-10-10T22:32:02.335288image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.
2022-10-10T22:32:02.791187image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.
2022-10-10T22:32:03.225105image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Missing values

2022-10-10T22:31:52.235329image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
A simple visualization of nullity by column.
2022-10-10T22:31:53.177813image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
2022-10-10T22:31:53.466637image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.
2022-10-10T22:31:53.664243image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
The dendrogram allows you to more fully correlate variable completion, revealing trends deeper than the pairwise ones visible in the correlation heatmap.

Sample

First rows

DateWTI_PriceOil_Production_OPECOil_Production_nonOPECOil_Production_WorldHenry_Hub_NG_PriceOil_Production_USPetrol_Consumption_OECDPetrol_Consumption_nonOECDUS_CPIUS_PPIUS_PPI_PetroleumUS_PMIPetroleum_Inventory_OECDCrude_Oil_Inventory_TotalCrude_Oil_Inventory_SPRCrude_Oil_Inventory_nonSPRFed_Fund_EffectiveIndex_Global_Real_Econ_ActivityUS_CPI_EnergyEU19_PPIReal_Dollar_IndexUSD_EUR_ExchangeGlobal_Econ_Policy_Uncertainty_IndexCOMEX_GoldDJIALME_CopperNASDAQ_COMPSP500_SPXWTI_Brent_Price_SpreadWTI_Crack_SpreadBrent_Crack_Spread
02000-01-0127.25926.01253446.90238473854.2392402.425.78437647.22677228.2861221.6931.2930080.75292.2764NaN908.950002568.498283.8775.45-10.97851155.447399NaNNaN1.013163.6033271671.5511281.2630000.8444013.4940001425.5855001.748153.123158.367
12000-02-0129.36626.67551646.82250874470.5425072.665.85183950.22934128.7706791.7001.2991870.84092.5669NaN896.840000569.370285.8475.73-9.63767157.5174351.113173NaN0.983458.7022521684.9010541.9295000.7874410.8710001388.8740001.591173.902178.675
22000-03-0129.84226.60878246.93726674439.0499682.795.91820749.35808328.5285471.7101.3053720.89793.1949NaN906.889002569.413297.0875.855.03398960.2281971.100917NaN0.964361.3159051726.2010483.3904350.8004802.9882611442.2130432.356193.374200.442
32000-04-0125.72227.51667846.61873175116.1293763.045.85416646.28674928.1318821.7091.3116930.84693.8051NaN936.018999569.413303.8336.028.11395659.4888984.174229NaN0.944964.5540361778.7010944.3105260.7903863.6373681461.3552632.958179.734188.608
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Last rows

DateWTI_PriceOil_Production_OPECOil_Production_nonOPECOil_Production_WorldHenry_Hub_NG_PriceOil_Production_USPetrol_Consumption_OECDPetrol_Consumption_nonOECDUS_CPIUS_PPIUS_PPI_PetroleumUS_PMIPetroleum_Inventory_OECDCrude_Oil_Inventory_TotalCrude_Oil_Inventory_SPRCrude_Oil_Inventory_nonSPRFed_Fund_EffectiveIndex_Global_Real_Econ_ActivityUS_CPI_EnergyEU19_PPIReal_Dollar_IndexUSD_EUR_ExchangeGlobal_Econ_Policy_Uncertainty_IndexCOMEX_GoldDJIALME_CopperNASDAQ_COMPSP500_SPXWTI_Brent_Price_SpreadWTI_Crack_SpreadBrent_Crack_Spread
2632021-12-0171.7127.87000064.94218395879.8309913.7611.63440347.68051454.6251112.8012602.4507302.596000100.7976002640.9634301198.612430593.682000421.1840000.0853.690332126.2756603.381643110.22211.1301263.017358273.335641.3340914.442515474.4318184674.772727-2.46472.9700465.5900
2642022-01-0183.2227.82000064.62644595847.7203464.3811.36933744.64541252.8631782.8193302.4784922.751160100.4851002643.4110061189.987006588.317000414.2730000.085.698728128.4669417.418224109.69571.1317232.673618266.435456.1450004.324014531.3775004573.815500-3.29489.9400480.0700
2652022-02-0191.6428.57500064.83781196799.3546654.6911.31611846.76552753.8986022.8418202.5267673.077570101.7173002614.0990371165.450037578.872000409.1290000.089.181976131.975160-1.305057109.88751.1349189.459499276.934648.4805264.454013898.7284214435.980526-5.49535.8800519.4100
2662022-03-01108.5028.21500065.66406397184.0879074.9011.70079446.22826952.5054632.8770802.5856863.646650102.4695002607.1306361153.628636566.061000414.3900000.2037.584538146.99524412.451791111.26271.1019330.582311282.134029.7404354.755513623.2630434391.265217-8.75679.1000652.8500
2672022-04-01101.7828.59000064.58560596306.2373446.6011.66838644.78083152.5935112.8866302.7106673.761810102.9955002659.0404771153.499477547.866000419.1160000.3326.986795147.1051539.113180111.83571.0803291.251220283.234314.9900004.408513394.1630004391.296000-2.80742.2653733.8653
2682022-05-01109.5528.10465465.10458496172.4800458.1411.61477245.18474153.2634582.9147402.7493104.185370102.5762002682.3196831172.450118523.109000414.2700000.7754.371459156.120654-9.070498114.61411.0567288.782821291.532379.4628574.296011829.7295244040.360000-3.83866.9715855.4815
2692022-06-01114.8428.30000065.439678NaN7.7011.81572946.05355253.8958792.9532802.7570344.685460102.1133002689.4261151179.668589493.324000417.5020001.2132.363946168.0263193.209877115.71191.0567268.389348274.831446.7128573.714511418.9190483898.946667-7.87914.9436891.3336
2702022-07-01101.6228.53000066.326922NaN7.2811.71277245.47128053.5938262.9527102.6858083.572790102.8502002736.3786211216.575233464.558000432.0100001.6818.549741160.38197118.468900117.56371.0168309.735314274.731535.3235003.429511622.6315003911.729500-10.31738.9256707.9956
2712022-08-0193.7029.34200066.419305NaN8.8111.86233246.07165253.3288482.9569782.6677153.216329102.2255212754.7018691205.848594443.223798417.2408972.33NaNNaNNaN117.05171.0129262.067751281.433009.5647833.518512570.2604354158.563043-6.75686.2935666.0435
2722022-09-0194.0029.19842766.836108NaN7.8811.85930046.06413854.1990322.9685292.6547253.123821102.1547002787.1086521221.848000413.223800419.9654002.56NaNNaNNaN120.17850.9899NaN294.230649.5595243.407011413.2140913850.520476-6.00671.2531653.2531